Pfizer GBI AI China Solutions Sr. Specialist in Beijing, China

ROLE RESPONSIBILITIES

  • Work closely with teams across Pfizer China to maximize the use of data in answering key questions related to: acceleration of drug discovery efforts, identification of drug repurposing opportunities, optimization of clinical trial activities, improving patient access to Pfizer therapies through a better understanding of outcomes & patterns of care, and maximizing the value of our interactions with patients, healthcare providers, payers, and regulatory agencies.

  • Partner closely with local Business Technology teams to define and execute technology POCs using innovative technologies to advance Pfizer's analytics and AI capabilities

  • Partner closely with the global AI CoE team to co-develop analytics & other re-usable components that will serve as the foundation for a scalable approach for Pfizer's analytics and AI maturation

  • Develop efficient analytic pipelines that include components related to data acquisition, exploratory analysis, feature engineering, modeling, and interactive storytelling.

  • Shared-ownership of advancing team's analytics and AI capabilities through the ability to implement and execute on state-of-the-art approaches

  • Produce actionable data presentations and visualizations for decision makers throughout the organization

  • Directly engage with key business stake-holders (Director level)

  • Informal leadership of project teams comprised of Associate/Sr. Associate level colleagues

QUALIFICATIONS

  • 5+ years' experience working as a data scientist / ML engineer

  • 3+ years working with semi-structured and unstructured data

  • 2+ years working in a cloud based ecosystem

  • Advanced degree in Computer Science, Operations Research, Data Science, Applied Mathematics or related field

Proven experience in at least two of the three following categories:

  • Data Science / Machine Learning

  • Expertise with general-purpose statistics/machine learning algorithms and at least one of the following sub-disciplines: Natural Language Processing, Deep Learning, Network Analysis.

  • Expertise with the implementation of algorithms within Python, R or Scala

  • Expertise with model tuning, validation and evaluation

  • Data Engineering

  • Experience with SQL development, database administration and performance tuning

  • Experience with data manipulation and extraction using modern programming languages (Java, C++, C#, Python, Scala, Spark, etc.)

  • Experience with Unix/Linux development - package management, knowledge of filesystems, performance monitoring/troubleshooting

  • Experience with NoSQL databases (MongoDB, Cassandra, etc.)

  • Machine Learning Engineering

  • Experience building production implementations of data science and engineering pipelines

  • Experience developing production-grade components within a larger ecosystem

  • Experience with sourcing data from APIs; experience building APIs is a plus

  • Ability to create technical examples, prototypes, and demonstrations based on rapidly changing data sets

  • Ability to thrive in a fast-paced multi-disciplinary environment; with the ability to effectively communicate with a diverse audience

  • Ability to communicate the results of complex analysis to non-technical audiences via effective visualizations and presentations

  • Excellent written and verbal communication skills

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.